There is no denying the fact that technology has changed our daily lifestyle in varied ways. From letting us communicate seamlessly to offering us accessing with vast information, technology is redefining our daily lives rapidly. But as technology continues to develop at a frantic pace, it is becoming clear that new innovations and discoveries must be balanced with great responsibility.
It implies considering the ethical implications of new technological platforms like AI and ML. AI, or Artificial Intelligence, is altering the world in numerous ways. AI is changing how we live, work, and communicate with our friends and acquaintances.
To be precise, the ethical considerations of AI are vast and complex. For instance, the ethical considerations typically encompass accountability, bias, etc. Here are some of the key ethical challenges of using AI and how to address them.
Security and privacy
One of the most concerning ethical concerns related to AI is security and privacy. As the AI systems gather and assess vast amounts of data, there is always a risk that this information could be used for malicious purposes. In other words, the data of the users can be leaked and used by the threat actors and cyber attackers.
Furthermore, as AI becomes kore integrated into our daily routine, there is a risk that the personal information could be utilized to control or manipulate the users. To address these issues, the developers should design apps based on AI that can facilitate proper privacy and security.
In simple words, the developers should deploy strong encryption methods and data protection measures to safeguard data. It is also the duty of the policymakers to establish clear guidelines and regulations to secure the rights of the users.
Transparency and accountability
Another ethical concern is accountability. And with accountability, you cannot undermine the significance of transparency. As the modern-day AI systems are becoming more complex and autonomous with little to no human interference, it is essential to ensure that they’re accountable for the damages caused.
Moreover, it is crucial to make sure that these AI systems are transparent so that the users can easily comprehend how and why the decisions are framed. To sort these issues, it is the duty of the developers to make AI-based apps that are transparent and explainable.
For instance, the developers should leverage the use of machine learning to help the app users comprehend how decisions are being implemented real-time. Furthermore, the policymakers also have a wide role to play. They should establish clear guidelines to make sure that the AI systems are accountable for their actions.
AI has potential to revolutionize the world in ways that were once thought to be possible only in sci-fi movies. But as we embrace AI, it is crucial for us to consider its ethical implications. By prioritizing security and privacy, developers and the whole world can make sure that AI is used in a responsible manner.
The development of artificial intelligence (AI) in the future will rely on our ability to effectively balance innovation with accountability and ethical considerations. It also involves harnessing the power of this advanced technology for the greater good of the humanity.
Fairness and bias as the ethical implications
Another ethical challenge of AI is fairness and bias. As the AI-based systems are reliant on larger datasets, there is a risk that they may perpetuate the existing biases unintentionally. Let’s provide an example to gain a better understanding of this concept. If the AI system is based on data that has biasness towards a particular group, there are chances that it will always take biased decision against that group.
To sort this issue, the developers must train the AI systems on larger and extensive datasets. It is also important for the developers to initiate steps to recognize and transfer the biases in the systems through regular auditing, checking, and testing.
To address biasness and fairness, the policymakers should also adopt the best practices. They should frame clear guidelines that underlines the limitations of the AI systems.
Balancing responsibility with innovation- Things to know
To address the ethical concerns, it is essential to balance responsibility with innovation. In simple words, AI should be developed and used in a manner that’s accountable and ethical. Here are some key considerations to be aware of while balancing innovation with responsibility.
Inclusion and diversity
The AI development teams should be diverse and inclusive. This will help in mitigating the risks associated with biasness and fairness. These developers can address the biases present within the larger datasets.
Protection of privacy
The data used to train the AI systems should be secured properly and used only for the accomplishing the set objectives. The regulations and privacy laws should be followed. Furthermore, the users should be informed about how their data will be utilized.
The broader notion of accountability
To balance responsibility with the innovation of AI, there should be a boarder notion of accountability. Moreover, it is up to the developers to establish the clear lines of responsibility for the AI systems. From users to manufacturers, all should have a broader role to ensure that technology is being leveraged ethically and responsibly.
Ensuring greater transparency
The developers should create AI systems that are transparent and explainable. In short, the AI-based apps should be so simple that the users can easily understand how decisions are being made within the system.
The broader role of Artificial Intelligence
John McCarthy, who is considered as the father of the scientific concept of Artificial Intelligence, defined it as the technology of creating intelligent machines for high-end programs . Artificial Intelligence is the process of making computers or superior devices like robots which, with the help of a particular software that can think and work on their own. This is similar to the human function of thinking. Artificial Intelligence hugely affects our life. We may be aware of the fact or maybe not. The majority of you do not know, but this fruit of modern science has already started to spread its wings in our daily life.
Some examples of the influence of AI in the human life
You may have come across Siri or Cortana on your mobile devices based on the operating systems of the iOS platform and Windows platforms respectively. Have you ever thought about what they are? These are personal digital assistants that help you in every pursuit of your life.
For example, you may ask your phones about various things around you like where to get tasty food in your neighborhood, and measurements of Earth, and you can even ask them to lift your mood by cracking random jokes. They work on the function of voice operation. Recently, the renowned tech giant Google manufactured a self-driving car.
AI is also present on websites
You may also have come across this function on your personal computers as well as several sites where they store your past search histories and recommend you several other things with the same criteria. This is also an excellent example of the influence of Artificial Intelligence in daily human life. The functions of the websites and the machines are done in such a way that they can recommend you something related to your past activities.
Social networking sites like Facebook, Pinterest, Snap chat and even YouTube supports you to add the people you may know from your skin. In this way, you can find many people whom you have lost contact with. Artificial Intelligence would also help you to make sure that your business is on the right path. For instance, with automated voice messages, the marketing scenario of e-commerce giants is a lot more different today.
Also, Tesla’s concept of Auto-Pilot works independently. It is evident that due to their self-decisive factor, they are termed the most sought-after examples of Artificial Intelligence in our daily life. With the advent of advanced hardware, AI is all set to create new ripples.
Author Bio:
Prashant Pujara operates as the CEO of MultiQoS Technologies, a well-known website development company with an emphasis on creating apps for iOS and Android. possesses more than 10 years of experience in software development, with a focus on making mobile applications for all main platforms, including iOS and Android.
